Triple

T22388641
Position Surface form Disambiguated ID Type / Status
Subject Gary Heidnik E553459 entity
Predicate fullName P16 FINISHED
Object Gary Michael Heidnik NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Gary Michael Heidnik | Statement: [Gary Heidnik, fullName, Gary Michael Heidnik]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gary Michael Heidnik
Context triple: [Gary Heidnik, fullName, Gary Michael Heidnik]
  • A. Chris Sievernich
    Chris Sievernich is a German film producer best known for his work on acclaimed art-house and independent films, including Wim Wenders’ "Paris, Texas."
  • B. John-Michael Tebelak
    John-Michael Tebelak was an American playwright and director best known for conceiving and originally directing the musical "Godspell."
  • C. Eric Hinske
    Eric Hinske is a former Major League Baseball third baseman and outfielder who played for multiple teams and later became a hitting coach.
  • D. Gary Heidnik chosen
    Gary Heidnik was an American serial killer and kidnapper from Philadelphia who infamously imprisoned and tortured women in his basement in the 1980s.
  • E. Christopher Geidt
    Christopher Geidt is a British civil servant and former Private Secretary to Queen Elizabeth II who later served as the UK’s Independent Adviser on Ministers’ Interests.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69e11e4cf87c8190a1ff474daec326b7 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15858c13c819098fe66a50ecea7d7 completed April 29, 2026, 1:01 a.m.
Created at: April 16, 2026, 8:45 p.m.